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A Fire Detection System Using Multi-sensor Networks Based on Fuzzy Logic in Indoor Scenarios 8

A Fire Detection System Using Multi-Sensor Networks Based on...

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8th international conference on Information and Communication Technology, ICoICT 2020

作者： Rachman, Fathur Zaini Hendrantoro, Gamantyo Wirawan Institut Teknologi Sepuluh Nopember Department of Electrical Engineering Surabaya Indonesia State Polytechnic of Balikpapan Balikpapan Indonesia

ISBN: (纸本)9781728161426

This paper presents the development of a fire detection system using a wireless multi-sensor network based on fuzzy logic rules. Until recently, the fire detection systems have been limited in the coverage area and installation of the device, so that the sensitivity of the sensor becomes limited indoor. This research proposes the use of multi-sensor system to detect indoor phenomena. The Fuzzy logic method is used to process data on multiple sensors and the cluster head (CH). The result of multi-sensor data processing is the condition level on the end device (ED). The test results show that the data processing using fuzzy logic for the measurements from distributed sensors reduces the data storage and computing complexity at the fusion center (FC). Fire detection application (FDA) displays the status condition (SC), where data sources from multi-sensor nodes are displayed as room conditions. © 2020 ieee.

关键词： Fuzzy logic

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Design and research of a distributed and scalable information platform for electric power sensing 9

Design and research of a distributed and scalable informatio...

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9th ieee Joint international Information Technology and Artificial Intelligence conference, ITAIC 2020

作者： Zeng, Pengfei Liang, Yun Tian, Wenfeng Sun, Xiaoyan Global Energy Interconnection Research Institute Co.Ltd. Beijing China Elec. Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing China

The development of power systems has called higher requirements for sensor information platforms, and sensor information platforms have become one key supporting technology for efficient and stable operation of power grids. This article first analyzes the current IoT reference architecture and the development trend of IoT platforms. Then, a distributed sustainable integrated architecture sensor information platform is proposed to cater to the sensor requirements of the current power grid. Specifically, for the architecture, the distributed design and continuous integration design of the platform are introduced in detail. Finally, based on the designed architecture in this article, the practical work carried out by the information platform is introduced. This platform can be used for partial discharge detection of power equipment, providing edge intelligent computing support for the detection and analysis of radio frequency pulse signals. © 2020 ieee.

关键词： Internet of things

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ADDAI: Anomaly Detection using distributed AI

ADDAI: Anomaly Detection using Distributed AI

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ieee international conference on Networking, Sensing and Control

作者： Maede Zolanvari Ali Ghubaish Raj Jain Computer Science and Engineering Washington University St. Louis MO USA

ISBN: (纸本)9781665440493

When dealing with the Internet of Things (IoT), especially industrial IoT (IIoT), two manifest challenges leap to mind. first is the massive amount of data streaming to and from IoT devices, and second is the fast pace at which these systems must operate. distributed computing in the form of edge/cloud structure is a popular technique to overcome these two challenges. In this paper, we propose ADDAI (Anomaly Detection using distributed AI) that can easily span out geographically to cover a large number of IoT sources. Due to its distributed nature, it guarantees critical IIoT requirements such as high speed, robustness against a single point of failure, low communication overhead, privacy, and scalability. Through empirical proof, we show the communication cost is minimized, and the performance improves significantly while maintaining the privacy of raw data at the local layer. ADDAI provides predictions for new random samples with an average success rate of 98.4% while reducing the communication overhead by half compared with the traditional technique of offloading all the raw sensor data to the cloud.

关键词： Cloud computing Data privacy Privacy Costs Scalability Robustness sensors

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FIRE-NRD: A fully-distributed and vanets-based traffic management system for next road decision 15

FIRE-NRD: A fully-distributed and vanets-based traffic manag...

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15th Annual international conference on distributed computing in sensor systems, dcoss 2019

作者： Gomides, Thiago S. Fernandes, Massilon L. Sumika Hojo De Souza, Fernanda Villas, Leandro Guidoni, Daniel L. Department of Computer Science Federal University of São João Del Rei Brazil Nstitute of Computing University of Campinas Brazil

ISBN: (纸本)9781728105703

Traffic congestion in large cities became more intense considering the last years. Basically, this growth is attributed to the wide use of a single mode of transport due to the lack of alternatives capable of efficiently supplying urban traffic demand. In this sense, in economic terms, it is estimated that billions of dollars are wasted every year due to the extra expenses with fuels and maintenance caused by traffic. In order to minimize the economic and environmental damages caused by congestion, this work presents FIRE-NRD: A fully-distributed Traffic Management System for Next Road Decision. In the proposed solution, vehicles, while moving, are able to analyze and share a study of the traffic flow and thus provide sufficient knowledge in order to resolve 'the next road decision', i.e., the next road choice to decrease its travel time. FIRE-NRD is based only on local data about traffic information and totally collaborative, where neighbor vehicles share their knowledge. FIRE-NRD is compared to literature solutions and present better results considering network and traffic metrics, such as number of messages and average travel time. © 2019 ieee.

关键词： Vehicular ad hoc networks

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Water Quality Prediction Approach Based on t-SNE and SA-BiLSTM 22

Water Quality Prediction Approach Based on t-SNE and SA-BiLS...

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22nd ieee international conference on High Performance computing and Communications, 18th ieee international conference on Smart City and 6th ieee international conference on Data Science and systems, HPCC-SmartCity-DSS 2020

作者： Zhou, Jian Chu, Feifei Li, Xin Ma, Haoyang Xiao, Fu Sun, Lijuan College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China

ISBN: (纸本)9781728176499

Water quality prediction is a basic work in water resource management. High performance computing and communications (HPCC) provide conditions for accurate water quality prediction. Water quality data are time and index correlated. In the meantime, the water quality data at different time contribute differently to the prediction result. According to these characteristics of water quality data, a water quality prediction approach based on t-distributed stochastic neighbor embedding (t-SNE) and self attention-bidirectional long short term memory neural network (SA-BiLSTM) is proposed in this paper. first, according to the index correlation of water quality data, a water quality feature extraction algorithm based on tSNE is proposed to obtain the effective features. Second, according to the time correlation and time difference of water quality data, a water quality prediction model based on SABiLSTM is established to predict the water quality accurately. Finally, the proposed approach is tested in two actual water quality datasets: Victoria Bay and Tai Lake. Experimental results show that compared with the state-of-The-Art approaches, the proposed approach can make full use of the characteristics of water quality data to obtain better prediction performance. © 2020 ieee.

关键词： Water quality

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Shadow-based Hand Gesture Recognition in one Packet

Shadow-based Hand Gesture Recognition in one Packet

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international conference on distributed computing in sensor systems (dcoss)

作者： Saptarshi Hazra Martina Brachmann Thiemo Voigt RISE Research Institutes of Sweden Stockholm Sweden

ISBN: (数字)9781728143514

ISBN: (纸本)9781728198040

The ubiquity of wirelessly connected sensing devices in IoT applications provides the opportunity to enable various types of interaction with our digitally connected environment. Currently, low processing capabilities and high energy costs for communication limit the use of energy-constrained devices for this purpose. In this paper, we address this challenge by exploring the new possibilities highly capable deep neural network classifiers present. To reduce the energy consumption for transferring continuously sampled data, we propose to compress the sensed data and perform classification at the edge. We evaluate several compression methods in the context of a shadow-based hand gesture detection application, where the classification is performed using a convolutional neural network. We show that simple data reduction methods allow us to compress the sensed data into a single ieee 802.15.4 packet while maintaining a classification accuracy of 93%. We further show the generality of our compression methods in an audio-based interaction scenario.

关键词： Image edge detection Cloud computing Machine learning Gesture recognition Microsoft Windows Performance evaluation ieee 802.15 Standard

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Concurrent Wireless Cut-Through Forwarding: Ultra-Low Latency Multi-Hop Communication for the Internet of Things

Concurrent Wireless Cut-Through Forwarding: Ultra-Low Latenc...

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international conference on distributed computing in sensor systems (dcoss)

作者： Nicolas Himmelmann Dingwen Yuan Lars Almon Matthias Hollick Secure Mobile Networking Lab TU Darmstadt Germany

ISBN: (数字)9781728143514

ISBN: (纸本)9781728198040

Achieving low latency remains a challenge in today's industrial Internet of Things (IoT) applications, particularly if operated over wireless multi-hop networks. One idea that can distinctly reduce the multi-hop latency is the so-called cut-through forwarding, i.e., a node starts relaying a packet after it has only received a fraction of it by leveraging two radios. This paper proposes the novel concurrent wireless cut-through (CWCT) protocol based on a prototype design which combines two off-the- shelf IoT devices. To improve reliability and eliminate routing overhead, CWCT applies concurrent transmission and Golay error correction coding. Evaluation on a controlled topology and on a medium-size testbed shows the large reduction in latency of CWCT compared to Glossy and the high synchronicity of concurrent transmission. To further improve packet reliability, we need to reduce the out-of-band leakage.

关键词： Wireless communication Protocols Reliability Interference ieee 802.15 Standard Wireless sensor networks Throughput

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Efficient and distributed Temporal Pattern Mining

Efficient and Distributed Temporal Pattern Mining

引用

ieee international conference on Big Data

作者： Nguyen Ho Van Long Ho Torben Bach Pedersen Mai Vu Aalborg University Denmark Tufts University Medford MA USA

ISBN: (纸本)9781665445993

The widespread deployment of IoT systems in the real world today has enabled the generation and collection of an enormous amount of sensor times series. One of the important mining techniques to extract patterns from time series is temporal pattern mining (TPM). Unlike the sequential pattern mining, TPM adds an additional temporal dimension, i.e., time intervals, into extracted patterns, making them more informative. However, adding the extra temporal dimension into patterns results in an additional exponential factor to the growth of the search space, and thus, significantly increases the mining complexity. Current TPM approaches work sequentially, therefore, cannot scale to large datasets. In this paper, we propose distributed Hierarchical Pattern Graph TPM (DHPG-TPM), the first distributed solution that supports large-scale TPM using the leading distributed platform Apache Spark. Moreover, DHPG-TPM employs efficient data structures, distributed bitmap and distributed Hierarchical Pattern Graph that are carefully designed to work efficiently in a distributed environment to enable fast computations of support and confidence. To address the exponential search space of TPM, we design effective distributed pruning techniques based on the Apriori principle and the transitivity property of temporal relations to reduce the search space while minimizing the communication overhead between the cluster nodes. We conduct extensive experiments on real-world and synthetic datasets, showing that DHPG-TPM outperforms the sequential baselines and scales to very large datasets.

关键词： conferences Time series analysis Cluster computing Big Data Data structures Computational efficiency Complexity theory

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Design Considerations for Low Power Internet Protocols

Design Considerations for Low Power Internet Protocols

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international conference on distributed computing in sensor systems (dcoss)

作者： Hudson Ayers Paul Crews Hubert Teo Conor McAvity Amit Levy Philip Levis Stanford University Princeton University

ISBN: (数字)9781728143514

ISBN: (纸本)9781728198040

Low-power wireless networks provide IPv6 connectivity through 6LoWPAN, a set of standards to aggressively compress IPv6 packets over small maximum transfer unit (MTU) links such as *** entire purpose of IP was to interconnect different networks, but we find that different 6LoWPAN implementations fail to reliably communicate with one another. These failures are due to stacks implementing different subsets of the standard out of concern for code size. We argue that this failure stems from 6LoWPAN's design, not implementation, and is due to applying traditional Internet protocol design principles to low- power *** propose three design principles for Internet protocols on low-power networks, designed to prevent similar failures in the future. These principles are based around the importance of providing flexible tradeoffs between code size and energy efficiency. We apply these principles to 6LoWPAN and show that the modified protocol provides a wide range of implementation strategies while allowing implementations with different strategies to reliably communicate.

关键词： Protocols IP networks Internet Interoperability ieee 802.15 Standard Bluetooth

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Bundle Charging: Wireless Charging Energy Minimization in Dense Wireless sensor Networks 39

Bundle Charging: Wireless Charging Energy Minimization in De...

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39th ieee international conference on distributed computing systems (ICDCS)

作者： Wang, Ning Wu, Jie Dai, Haipeng Rowan Univ Dept Comp Sci Glassboro NJ 08028 USA Temple Univ Ctr Networked Comp Philadelphia PA 19122 USA Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China

ISBN: (纸本)9781728125190

Using a mobile charger to wirelessly charge sensors is a promising yet not well-solved technique. Existing trajectory planning schemes for wireless charger either (1) fail to optimize the one-to-many characteristic of wireless charging or (2) fail to jointly optimize the charger movement cost and the charging cost. The objective of this paper is to find the optimal trajectory planning for a mobile charger in terms of energy minimization in the quadratic attenuation charging model. There exists a trade-off between charging efficiency and trajectory distance. If the mobile charger comes close to sensors, the charging efficiency is high, but the entire charging trajectory of the charger will be long and vice versa. To address this trade-off, we propose the idea of charging bundle and optimize the charger's trajectory based on the charging bundle rather than each sensor. The optimal charging bundle generation problem and the bundle trajectory optimization problem are discussed gradually. Both of them are proven to be NP-hard. Then, we first propose a greedy bundle generation algorithm with an approximation ratio of In n, where n is the number of sensors. After that, we propose a TSP-based solution and further optimize the TSP-trajectory by jointly considering the adjacent charging locations. Theorems are proposed to effectively find the optimal location. Extensive experiments show that our scheme achieves a much better performance than traditional schemes.

关键词： wireless energy transfer wireless sensor networks trajectory planning mobile charging

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